Relationship between classifier performance and distributional complexity for small samples
Given a limited number of samples for classification, several issues arise with respect to design, performance and analysis of classifiers. This is especially so in the case of microarray-based classification. In this paper, we use a complexity measure based mixture model to study classifier perform...
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Format: | Others |
Language: | en_US |
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Texas A&M University
2004
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Online Access: | http://hdl.handle.net/1969.1/1201 |